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Volume 31 Issue 1
Dec.  2010
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Meng Yan, Wang Jin-kuan, Zhu Jun. A Linearly Constrained LSCM Algorithm Based on Subspace[J]. Journal of Electronics & Information Technology, 2009, 31(1): 49-52. doi: 10.3724/SP.J.1146.2007.01191
Citation: Meng Yan, Wang Jin-kuan, Zhu Jun. A Linearly Constrained LSCM Algorithm Based on Subspace[J]. Journal of Electronics & Information Technology, 2009, 31(1): 49-52. doi: 10.3724/SP.J.1146.2007.01191

A Linearly Constrained LSCM Algorithm Based on Subspace

doi: 10.3724/SP.J.1146.2007.01191
  • Received Date: 2007-07-25
  • Rev Recd Date: 2008-04-07
  • Publish Date: 2009-01-19
  • Linearly constrained Least Square Constant Modulus Algorithm (LSCMA) is an effective solution to the problem of interference capture in Constant Modulus Algorithm (CMA). But the performance will degrade when it is affected by the noise subspace in practical situations. In order to overcome this shortage, a subspace-based linearly constrained LSCMA multiuser detection algorithm is proposed. The proposed algorithm offers fast convergence rate, has good channel tracking ability and provides excellent output Signal-to-Interference-plus- Noise-Ratio (SINR) and Bit Error Rate (BER) performance. Theory analysis and simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
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